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Bubble plot: A method or technique for displaying the observations which involve three variable values. Two of the variables are used to make a scatter diagram and values of the third variable are represented by the circles with differing radii centered at the suitable position. An instance of such a plot for variables age and weekly time spent looking after the car with extroversion can be represented by
the 'bubble' is shown in Fig. 24. Plot also shows the gender of each individual.
can you help specify the model for an event study and to interpret the results/
Suppose the graph G is n-connected, regular of degree n, and has an even number of vertices. Prove that G has a one-factor. Petersen's 2-factor theorem (Theorem 5.40 in the note
Intercropping experiments are the experiments including growing two or more crops at same time on the same patch of land. The crops are not required to be planted nor harvested at
This is the theorem which states that if the error terms in a multiple regression have the same variance and are not corrected, then the estimators of the parameters in the model p
Catastrophe theory : A theory of how little is the continuous changes in the independent variables which can have unexpected, discontinuous effects on the dependent variables. Exam
Per-experiment error rate is the possibility of the incorrectly rejecting at least one null hypothesis or assumption in the experiment including one or more tests or comparisons,
Kolmogorov Smirnov two-sample method is a distribution free technique which tests for any difference between the two populations probability distributions. The test is relied on t
McNemar's test is the test for comparing proportions in data involving the paired samples. The test statistic can be given by it is most useful when the data have a symmetri
Generalized principal components analysis: The non-linear version of the principal components analysis in which the goal is to determine the non-linear coordinate system which is
The probability distribution which is a linear function of the number of component probability distributions. This type of distributions is used to model the populations thought to
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